Day 71 – Intelligent Visual Data Discovery With LUX Python API For Machine Learning

This blog will check how LUX python API helps us in data visualization with few lines of code.

Visualization is an important part of the Machine Learning Data Science part because users cannot understand it if we only represent data.?However, data visualization clearly shows which one performs better and which one lags.?I will walk through with a simple example of how to visualize data.

What is LUX?

Lux is a Python library that makes data science easier by automating certain aspects of the data exploration process. Lux is designed to facilitate faster experimentation with data, even when the user does not have a clear idea of what they are looking for. Lux is integrated with an interactive Jupyter widget that allows users to quickly browse through large collections of data directly within their Jupyter notebooks.

Let’s get into the code part.

In this example, I am using Jypyter Notebook, and you can check the code in the Github repository.

#Install Lux API        

pip install lux-api
        

#Install luxwidget to load all visualizations and this is a mandatory step
!jupyter nbextension install --py luxwidget        

!jupyter nbextension enable --py luxwidget
        

#Import Lux, Pandas and OS libraries
import lux
import pandas as pd        

import os
        

#Function to download and read delivery data CSV file
DATA_FILES_PATH = r"C:\\LUX"
def load_customer_data(data_path=DATA_FILES_PATH):
??? csv_path = os.path.join(data_path, "customer_data_lux.csv")        

??? return pd.read_csv(csv_path)        

This is one of the cool library that must have in our machine learning data exploration.

What is your view about this LUX API library? Please comment below

Github repository:

LUX API

Documentation:

LUX Docs

Further Reading

Posts on?Artificial Intelligence,?Deep Learning,?Machine Learning, and?Design Thinking?articles:

Multi-Language Identification Using Natural Language Processing

AI Talkbot Personal Assistant Using Neural Networks and NLP

Customer Sales Order Delivery Time Prediction Using ML Linear Regression

No Free Lunch Theorem(NFL) in Artificial Intelligence/Machine Learning

Rasa X Open Source Conversational AI UI Walk-through

Artificial Intelligence Chatbot Using Neural Network and Natural Language Processing

Sales Order Delivery Days Prediction Using ML Decision Tree Regression

Underfitting, Overfitting, and Regularization

Pre-trained Models for Transfer Learning

Types of Neural Networks

Predict an Image Using MobileNetV3 Pre-trained Model for Mobile

Text to Image Generation Using OpenAI’s CLIP and BigGAN

Posts on SAP:

How to Transform Your Business with SAP Data Intelligence?

SAP AI Business Services – Business Entity Recognition

SAP AI Business Services – Document Information Extraction

SAP AI Business Services – Service Ticket Intelligence

SAP AI Business Services: Document Classification

SAP AI Business Services

SAP Intelligent Robotic Process Automation, Use Case, Benefits, and Available Features

SAP Conversational AI